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A statistic for comparing two correlated markers which are prognostic for time to an event
Author(s) -
Jung SinHo,
Wieand Sam,
Cha Stephen S.
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780142005
Subject(s) - censoring (clinical trials) , statistic , statistics , nonparametric statistics , test statistic , event (particle physics) , computer science , survival analysis , statistical hypothesis testing , oncology , medicine , mathematics , physics , quantum mechanics
A proliferation of biologic markers has led to increased interest in methods for comparing the prognostic value of markers in predicting time to recurrence of or death from disease. This paper proposes a non‐parametric test statistic for comparing two continuous markers when the outcome of interest is time to an event and the outcome is subject to right censoring. Results from Monte Carlo studies show that the new testing procedure is reliable for practical use. We present an example in which we use the statistic successfully in a colon cancer study to select between two potentially useful markers.